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Internship | Recurrent deep learning applied to radar data
7 maanden geleden
What will be your role?
Radar observations are hampered by reflections from the background surrounding an object of interest (so-called radar clutter) and sometimes interference of other emitters. Radar clutter may exhibit some temporal structure, e.g., radar reflections from rolling sea waves or from the rotating blades of a wind turbine. Also interference from other emitters may have some temporal structure such as a series of pulses emitted by a ship navigation radar.
The goal of this assignment is to investigate whether this temporal structure can be exploited to improve the suppression of radar clutter and interference, for instance by predicting the clutter or interference for the next radar observation. Then the next question would be: is it also possible to adapt to (slow) changes of the temporal structure? For example, the blades of a wind turbine tend to rotate faster when the wind increases, can this change be taken into account in the subsequent predictions? One potential line of investigation is the use of deep learning techniques with a recurrent structure.
You will perform this assignment in the Department of Radar Technology. We are a passionate and creative group of professionals (60 people) dedicated to the specification, development and evaluation of innovative, high-performance MMICs, miniaturised and integrated RF subsystems, antennas and front-ends. The department is at the heart of novel, game-changing radar system and signal processing concepts for the military, space and civil domains.
What we expect from you
You are in the final stages of your degree in artificial intelligence, computer science, physics, mathematics, electrical engineering or a similar degree and have some track record in the field of signal processing or computer vision. You have experience in programming in Matlab and/or Python, you are pragmatic and focused on making things work. Next to technical expertise we value communication skills and a results-driven attitude.
What you'll get in return
You want to work on the precursor of your career; an internship gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your internship and be given the scope for you to get the best out of yourself. Naturally, we provide suitable internship compensation.
